Data Scientist

Photon; Chennai District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Photon is seeking an experienced AI/ML engineer to design, develop, and deploy AI-powered solutions in Chennai. You will collaborate with cross-functional teams to integrate ML models into existing systems and applications.

The role involves building scalable data pipelines with Django/Flask and addressing model performance, data quality, and system integration challenges in a fast-paced environment.

Qualifications

• 5-10 years of experience in developing AI solutions using Python, deep learning, or machine learning techniques.
• Strong proficiency in Python development with libraries such as NumPy, Pandas, Matplotlib.
• Experience with building scalable web applications using Django/Flask frameworks.

Responsibilities

• Design, develop, and deploy AI-powered solutions using Python and machine learning algorithms.
• Collaborate with cross-functional teams to integrate ML models into existing systems and applications.
• Develop scalable data pipelines using Django/Flask frameworks to process large datasets.
• Troubleshoot complex issues related to model performance, data quality, and system integration.

Skills

Python development

ML/AI development

Data analysis

Collaboration

Tools

Django

Flask

NumPy

Pandas

Matplotlib

Job description

Roles and Responsibilities :

• Design, develop, and deploy AI-powered solutions using Python and machine learning algorithms.
• Collaborate with cross-functional teams to integrate ML models into existing systems and applications.
• Develop scalable data pipelines using Django/Flask frameworks to process large datasets.
• Troubleshoot complex issues related to model performance, data quality, and system integration.

Job Requirements :

• 5-10 years of experience in developing AI solutions using Python, deep learning, or machine learning techniques.
• Strong proficiency in Python development with expertise in libraries such as NumPy, Pandas, Matplotlib.
• Experience with building scalable web applications using Django/Flask frameworks.